Private AI for regulated enterprises
Private, compliant AI infrastructure for regulated enterprises.
Deploy and govern AI where your data lives — your cloud and your data centers — with compliance-first controls and no data leaving your environment.
On-prem and hybrid deployments. GDPR, HIPAA, SOC2, India DPDP, and region-specific compliance.
Shonix Control Plane
Private inference, routing, and audit in your VPC.
Pilot deployment
0–0 weeks
Data egress
0 raw data out
Regions
Multi-region ready
The problem
AI pilots stall when data can’t leave regulated environments. Vendor lock-in, opaque shared infrastructure, and unclear compliance posture block approvals from security and legal. GPU shortages and competing workloads make it hard to run production-grade AI at all — let alone on your terms.
Shonix AI: private, compliant AI infrastructure
Shonix AI lets you deploy, run, and govern AI workloads inside your own environment, with compliance controls and hybrid offload for non-sensitive compute. Your security and infra teams stay in control of data flows, keys, and access.
Private inference
Run inference inside your VPC or data center so prompts and outputs never leave your environment.
Compliant fine-tuning
Fine-tune on regulated datasets with auditable pipelines, RBAC, and retention controls that security can sign off on.
Hybrid offload
Offload non-sensitive workloads to trusted GPUs while regulated data stays resident and observable.
How Shonix AI fits into your stack
Install into your existing cloud or on-prem environment, connect to your systems, and selectively burst to trusted GPU capacity when needed. Data boundaries stay explicit and auditable.
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1 Deploy
Deploy inside your cloud or on‑prem
Install into your VPC, Kubernetes clusters, or data centers with hardened images and reference architectures.
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2 Run privately
Train and run models privately
Connect to internal data sources and run training, fine-tuning, and inference on single-tenant infrastructure you control.
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3 Hybrid
Offload non‑sensitive compute
Burst to approved external GPU capacity for non-sensitive workloads while regulated data and logs stay in your environment.
The Shonix Architecture
A unified control plane for your AI lifecycle — from private inference to compliant fine‑tuning and hybrid offload. Designed for security, infra, and AI teams to share one view of what is running where.
Private Inference Engine
High-throughput, low-latency inference on your hardware, with zero raw data leaving your environment.
Hybrid Orchestration
Seamlessly burst workloads from on‑prem to trusted cloud GPUs without changing application code.
Decentralized Compute Layer
Future‑proof access to distributed GPU resources for massive training jobs.
Industry playbooks in one place
See how Shonix is used across banking, healthcare, government, energy, and SaaS. Each workflow runs privately inside your environment, with controls mapped to your regulators.
- BFSI: internal copilots for risk, compliance, and operations.
- Healthcare: PHI‑safe summarization, coding assistants, and triage.
- Gov & Energy: on‑prem copilots for sensitive operations.
Banking
Private copilot for risk & compliance teams
Healthcare
Clinical summarization with PHI locked in
Gov & Energy
On‑prem copilots for sensitive operations
Implementation & security FAQ
Security and compliance by design
Shonix AI is built for teams that cannot compromise on privacy, residency, or control. Data processing boundaries are explicit, enforced, and auditable.
- Data never leaves your environment. Sensitive data stays in your VPC or data centers. No raw data sent to Shonix or shared clouds.
- GDPR-ready. Residency controls, subject access support, and clear processing responsibilities.
- HIPAA-aligned. Proven patterns for PHI workloads used in BAA-backed deployments.
- SOC2-focused. Controls mapped to SOC2 requirements with audit-ready configuration baselines.
- India DPDP and local regimes. Region-aware deployments to satisfy data localization and residency mandates.
- On‑prem and air‑gapped. Supports full on‑prem and air‑gapped deployments for highly sensitive environments.
Controls snapshot (example)
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Supported
Data residency
Per‑region deployment and storage policies.
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Standard
Encryption
TLS in transit, disk encryption at rest.
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Enforced
Access control
SSO, RBAC, service accounts.
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Enabled
Audit logging
Immutable, exportable logs.
Replace with your compliance deck screenshots and mappings to policies and certifications.
Early pilots with regulated enterprises
Shonix AI is working with banks, healthcare providers, public sector, and large SaaS companies to run AI privately and compliantly.
Global bank
Deployed private inference for internal copilots in 6 weeks, with data residency in‑region and no data leaving their VPC.
Healthcare group
Ran PHI‑safe fine‑tuning for clinical summarization under HIPAA‑aligned controls and full audit trails.
Public sector
Enabled on‑prem, air‑gapped deployment for sensitive workloads with strict network boundaries.
Enterprise SaaS
Provided hybrid compute setup for multi‑region customers while isolating tenant data per jurisdiction.
“Shonix gave our security team the control they needed to approve AI workloads without slowing delivery.”
“We kept all PHI in our own environment and still hit our model performance targets.”
Pricing
Pricing depends on deployment size, compliance requirements, and GPU footprint. We scope each engagement with your team rather than publishing generic ranges.
Connect with our sales team at shubham@shonixai.com or use the form below to request a tailored quote.
Ready to pilot private AI?
Share a bit about your environment and use case. Our team responds within 1–2 business days with a tailored pilot plan.